Main Category: Stem Cell Research
Article Date: 04 Jul 2013 – 1:00 PDT
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Scientists at A*STAR’s Genome Institute of Singapore (GIS) and the Max Planck Institute for Molecular Genetics (MPIMG) in Berlin (Germany) have discovered a molecular network in human embryonic stem cells (hESCs) that integrates cell communication signals to keep the cell in its stem cell state. These findings were reported in the a recent issue of Molecular Cell.
Science, Agency for. “Molecular Communication Network Discovered In Human Stem Cells.” Medical News Today. MediLexicon, Intl., 4 Jul. 2013. Web.
10 Jul. 2013. <http://www.medicalnewstoday.com/releases/262819.php>
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MLA
1. Gene Regulation Laboratory, Genome Institute of Singapore, Singapore 138672, Singapore
2. Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin 14195, Germany
3. Graduate School for Integrative Sciences & Engineering, National University of Singapore, Singapore 117456, Singapore
4. Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore
5. Department of Biological Sciences, National University of Singapore, Singapore 117543, Singapore
6. School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore
7. Department of Biochemistry, National University of Singapore, Singapore 117597, Singapore
8. These authors contributed equally to this work
* Correspondence: NG Huck Hui, nghh@gis.a-star.edu.sg. Tel: (65)6808-8145
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Molecular Communication Network Discovered In Human Stem Cells
First author Dr Jonathan Göke from Stem Cell and Developmental Biology at the GIS said, “The ERK signaling pathway has been known for many years, but this is the first time we are able to see the full spectrum of the response in the genome of stem cells. We have found many biological processes that are associated with this signaling pathway, but we also found new and unexpected patterns such as this dual mode of ELK1. It will be interesting to see how this communication network changes in other cells, tissues, or in disease.”
These findings are particularly relevant for stem cell research, but they might also help research in other related fields.
“A remarkable feature of this study is, how the information was extracted by computational means from the experimental data,” said Prof Martin Vingron from MPIMG and co-author of this study.